StackGen has partnered with Google Cloud Platform (GCP) to bring its platform to the Google Cloud Marketplace.
SmartBear Software is bringing the power of its Ready! API testing framework to API developers using the most popular coding languages in the world.
Now developers using Visual Studio to build software leveraging the open source .NET Framework can ensure API quality directly from within their primary workspace.
Launched in March 2016 with similar support for Java developers using tools like Eclipse, IntelliJ and others, the latest TestServer .NET capabilities are introduced as part of the broader update to the Ready! API testing framework. By delivering these open source TestServer SDKs for Java and .NET framework languages, SmartBear ensures that developers can express their API functional tests in their preferred coding language.
“As testing obligations continue to spread throughout API development and test organizations, a phenomenon many refer to as ‘Shifting Left,’ application providers must become smarter about their user expectations,” said John Purcell, VP of Products, API Readiness at SmartBear. “It is simply not reasonable to assume development and test professionals will automatically adjust their workflows to adopt a tool. In fact, the opposite must happen.”
With this Ready! API 1.8 release, SmartBear is delivering key improvements to both desktop and server components of the framework. Organizations seriously committed to API quality can:
- Enable users to move to more comprehensive, multi-component, real-world API testing by importing simple tests built using Postman into SoapUI NG Pro
- Eliminate inter-organizational dependencies by putting API virtualization in the hands of every developer and intuitively manage more granular routing rules across ever-larger numbers of Virts in ServiceV Pro
- Acknowledge that everyone is accountable for API security and make it easy for them to quickly find and diagnose security vulnerabilities at a deeper level using Secure Pro
Industry News
Tricentis announced its spring release of new cloud capabilities for the company’s AI-powered, model-based test automation solution, Tricentis Tosca.
Lucid Software has acquired airfocus, an AI-powered product management and roadmapping platform designed to help teams prioritize and build the right products faster.
AutonomyAI announced its launch from stealth with $4 million in pre-seed funding.
Kong announced the launch of the latest version of Kong AI Gateway, which introduces new features to provide the AI security and governance guardrails needed to make GenAI and Agentic AI production-ready.
Traefik Labs announced significant enhancements to its AI Gateway platform along with new developer tools designed to streamline enterprise AI adoption and API development.
Zencoder released its next-generation AI coding and unit testing agents, designed to accelerate software development for professional engineers.
Windsurf (formerly Codeium) and Netlify announced a new technology partnership that brings seamless, one-click deployment directly into the developer's integrated development environment (IDE.)
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, is making significant updates to its certification offerings.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the Golden Kubestronaut program, a distinguished recognition for professionals who have demonstrated the highest level of expertise in Kubernetes, cloud native technologies, and Linux administration.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade internal developer portal based on the Backstage project.
Platform9 announced that Private Cloud Director Community Edition is generally available.
Sonatype expanded support for software development in Rust via the Cargo registry to the entire Sonatype product suite.
CloudBolt Software announced its acquisition of StormForge, a provider of machine learning-powered Kubernetes resource optimization.